Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.1 Introduction In this paper we introduce an approach to building models for and estimating main roads in aerial images, which is an ... In general a human operator gives the road starting points and the road directions at the starting points.
|Title||:||Automatic Extraction of Man-Made Objects from Aerial Space Images|
|Author||:||Armin Gruen, Olaf Kuebler, Peggy Agouris|
|Publisher||:||Springer Science & Business Media - 1995-08-28|